Explanation
The correct answer is D. The code is responsible for the support of the inequality operator i.e. i != j. In the given code snippet, the __ne__ method is a special method that overrides the behavior of the inequality operator != for instances of the MyClass class. When the inequality operator is used to compare two instances of MyClass, the __ne__ method is called to determine whether the two instances are unequal.

Explanation
In the given code snippet, an instance of OwnMath exception is raised with an explicitly specified __cause__ attribute that refers to the original exception (ZeroDivisionError). This is an example of explicitly chaining exceptions in Python.

Explanation
The true statement related to PEP 257 is Option B. According to PEP 257, string literals occurring elsewhere in Python code may also act as documentation. They are not recognized by the Python bytecode compiler and are not accessible as runtime object attributes (i.e. not assigned to doc), but two types of extra docstrings may be extracted by software tools: String literals occurring immediately after a simple assignment at the top level of a module, class, or init method are called “attribute docstrings”. String literals occurring immediately after another docstring are called “additional docstrings”1.

Explanation
Composition is an object-oriented design concept that models a has-a relationship. In composition, a class known as composite contains an object of another class known as component. In other words, a composite class has a component of another class1.
Composition allows a class to be projected as a container of different classes.
Composition is a concept in Python that allows for building complex objects out of simpler objects, by aggregating one or more objects of another class as attributes. The objects that are aggregated are generally considered to be parts of the whole object, and the containing object is often viewed as a container for the smaller objects.
In composition, objects are combined in a way that allows for greater flexibility and modifiability than what inheritance can offer. With composition, it is possible to create new objects by combining existing objects, by using a container object to host other objects. By contrast, with inheritance, new objects extend the behavior of their parent classes, and are limited by that inheritance hierarchy.
References:
* Official Python documentation on
Composition: https://docs.python.org/3/tutorial/classes.html#composition
* GeeksforGeeks article on Composition vs
Inheritance: https://www.geeksforgeeks.org/composition-vs-inheritance-python/
* Real Python article on Composition and
Inheritance: https://realpython.com/inheritance-composition-python/

Explanation
The socket.gaierror exception is raised when an address-related error caused by the getaddrinfo() and getnameinfo() functions occurs. These functions are used to translate hostnames to IP addresses and vice versa, and the gaierror exception is raised if they fail to perform this translation.

Explanation
The execute method is provided by the Cursor class
This statement is true because the execute method is one of the methods of the Cursor class in the sqlite3 module. The Cursor class represents an object that can execute SQL statements and fetch results from a database connection. The execute method takes an SQL query as an argument and executes it against the database. For example, cur = conn.cursor (); cur.execute (“SELECT * FROM table”) creates and executes a cursor object that selects all rows from a table.
The fetchone method returns None when no rows are available
This statement is true because the fetchone method is another method of the Cursor class in the sqlite3 module.
The fetchone method fetches the next row of a query result set and returns it as a single tuple or None if no more rows are available. For example, row = cur.fetchone () fetches and returns one row from the cursor object or None if there are no more rows.

Explanation
The json.dumps() function is used to convert a Python object into a JSON string 1. It takes Python data as its argument, such as a dictionary or a list, and returns a JSON string.

Explanation
A socket object is usually created using the socket() constructor provided by the socket module in Python. The correct invocation is socket.socket(socket_domain, socket_type). This creates a new socket object with the specified socket domain and type.

Explanation
The cget() method in Python is used to read the configuration options of a widget in Tkinter. It retrieves the value of a specified configuration option for a Tkinter widget. Hence, option A is the correct answer.

Explanation
The two true statements related to PEP 8 programming recommendations for code writing are Option B and Option D.
Option B is true because PEP 8 recommends making object type comparisons using the isinstance() method instead of comparing types directly 1.
Option D is true because PEP 8 recommends not writing string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them 1.

Explanation
Option A is true because PEP 8 recommends avoiding extraneous whitespace immediately inside parentheses, brackets or braces 1.
Option C is true because PEP 8 recommends avoiding extraneous whitespace between a trailing comma and a following close parenthesis 1.

Explanation
answer A. Deserialization is the process of converting data that has been serialized or encoded in a specific format, back into its original form as an object or a data structure in memory. In Python, this typically involves creating Python objects based on sequences of bytes that have been serialized using a protocol such as JSON, Pickle, or YAML.
For example, if you have a Python object my_obj and you want to serialize it to a JSON string, you might do something like this:
importjson
serialized_obj = json.dumps(my_obj)
To deserialize the JSON string back into a Python object, you would use the json.loads() method:
deserialized_obj = json.loads(serialized_obj)
This would convert the JSON string back into its original Python object form.

Explanation
The @property decorator should be defined after the method that is responsible for setting an encapsulated attribute is a false sentence. In fact, the @property decorator should be defined before the method that is used to set the attribute value. The @property decorator and the setter and deleter methods work together to create an encapsulated attribute, which is used to provide control over the attribute’s value.

Explanation
The given code snippet demonstrates the concept of encapsulation in object-oriented programming.
Encapsulation refers to the practice of keeping the internal state and behavior of an object hidden from the outside world and providing a public interface for interacting with the object. In the given code snippet, the __init__ and get_balance methods provide a public interface for interacting with instances of the BankAccount class, while the __balance attribute is kept hidden from the outside world by using a double underscore prefix.